I use miniconda jupyter notebook python and I'm trying to implement a machine (Audio filtering). I got this error and I really don't know how to fix it.
Here I imported libraries that I need with the path of the file:
import wave as we
import numpy as np
import matplotlib.pyplot as plt
dir = r'/home/pc/Downloads/Bubble audios'
Here the fuction that should plot the graph:
def read_wav(wavfile, plots=True, normal=False):
f = wavfile
params = f.getparams()
# print(params)
nchannels, sampwidth, framerate, nframes = params[:4]
strData = f.readframes(nframes) # , string format
waveData = np.frombuffer(strData, dtype=np.int16) # Convert a string to an int
# wave amplitude normalization
if normal == True:
waveData = waveData*1.0/(max(abs(waveData)))
#
if plots == True:
time = np.arange(0, nframes ,dtype=np.int16) *(1.0 / framerate)
plt.figure(dpi=100)
plt.plot(time, waveData)
plt.xlabel("Time")
plt.ylabel("Amplitude")
plt.title("Single channel wavedata")
plt.show()
return (Wave, time)
def fft_wav(waveData, plots=True):
f_array = np.fft.fft(waveData) # Fourier transform, the result is a complex array
f_abs = f_array
axis_f = np.linspace(0, 250, np.int(len(f_array)/2)) # map to 250
# axis_f = np.linspace(0, 250, np.int(len(f_array))) # map to 250
if plots == True:
plt.figure(dpi=100)
plt.plot(axis_f, np.abs(f_abs[0:len(axis_f)]))
# plt.plot(axis_f, np.abs(f_abs))
plt.xlabel("Frequency")
plt.ylabel("Amplitude spectrum")
plt.title("Tile map")
plt.show()
return f_abs
And here I call the function with the file that I want to be read and plotted.
f = we.open(dir+r'/Ars1_Aufnahme.wav', 'rb')
Wave, time = read_wav(f)
The error that I got:
ValueError: x and y must have same first dimension, but have shapes (2140699,) and (4281398,)
I tried to use np.reshape but it didn't work or I might have used it wrong. So, any advice?
it's seems that your time is 1/2 of the size of your wave. Maybe your nframe
is too short. If you do nframses = 2*nframes
what is the error ?